Part-Time Data Scientist I/II: Bio & Tech Data Workflows

Commonwealth Sciences, Inc.; Boston (MA); On-site; USD 42,000 - 72,000; Part time

Job summary

Commonwealth Sciences, Inc. in Boston, MA is seeking a Part Time Data Scientist I/II to join our client projects.

You will work closely with biologists and scientists to set up, configure, and troubleshoot Dotmatics protocols and workflows, and you will develop data solutions using SQL, R, and Python. The role emphasizes hands-on data analysis, database performance optimization, and collaboration with cross-functional teams to translate scientific requirements into practical tools for Chemistry

Qualifications

• Bachelor’s or Master’s degree in Data Science, CS, Bioinformatics, computational biology, or related field preferred.
• Experience with Dotmatics or related Dotmatics product.
• Strong SQL and Oracle database experience.
• Proficiency in R and/or Python.
• Strong analytical, troubleshooting, and problem-solving skills.

Responsibilities

• Work closely with biologists and scientists to set up, configure, and troubleshoot Dotmatics protocols and workflows.
• Troubleshoot issues and provide technical support for Dotmatics and scientific data workflows.
• Optimize Oracle database performance, including SQL queries and database processes.
• Develop applications, tools, and data solutions for Chemistry and Biology teams.
• Use SQL, R, and/or Python to analyze and manage scientific data.
• Collaborate with scientific and technical teams to understand requirements and develop practical solutions.
• Support improvements to laboratory data workflows, reporting, and data accessibility

Skills

Analytical thinking

Troubleshooting

Problem solving

Education

Degree in Data Science/CS

Tools

Dotmatics

SQL

Oracle

Python

R

Job description

Commonwealth Sciences, Inc. in Boston, MA is seeking a Part Time Data Scientist I/II to join our client projects.

You will work closely with biologists and scientists to set up, configure, and troubleshoot Dotmatics protocols and workflows, and you will develop data solutions using SQL, R, and Python. The role emphasizes hands-on data analysis, database performance optimization, and collaboration with cross-functional teams to translate scientific requirements into practical tools for Chemistry